Big Data is only good if you have the ability to use it. With all the technology advancements, it is not really a challenge to get and store huge amount of data- be it be structured or unstructured- But what next? It is easy to get carried away with all what is being discussed about big data. When you are embarking on a big data initiative, first bring clarity on “What business problem are you trying to solve”. Solidify that thought by mapping this to your organizational objectives.
How big is the ‘Big’ in Big Data – As this challenge gets more obvious, the concept of Data Lake is attracting a lot of attention. While it holds good potential to creating new opportunities, the ability to handle such huge amount of data with the existing tools and solutions is way too low. It has created enormous hype in the industry that every CEO feels that they will not be in the race, if they don’t tap into the large data assets and lead their enterprise as a data driven enterprise.
“The term Big-Data may just be part of the industrial hype cycle since it’s all about the Data, but the Big part should be a reminder to dream big.” — Theo Priestley, consultant, industry analyst, startup advisor and writer.We have discussed, criticized, and sympathized a lot about the noise/sound pollution in big cities- I mean the crowded cities. There have been a lot of initiatives to reduce the noise – reason being its adverse effects on the human life – it damages the ears, it upsets the mind, increases the stress and many more.
I was just reading the blog “The Risk and Reward for monetizing your big data” by Andrew White of Gartner and I thought I will just note down a few quick thoughts.In this blog, Andrew is talking about big Phone firms selling their customer information related to location and he also discusses the data privacy issue aspect in conjunction to that.